| Action2Activity: recognizing complex activities from sensor data Y Liu, L Nie, L Han, L Zhang, DS Rosenblum Twenty-fourth international joint conference on artificial intelligence, 2015 | 368 | 2015 |
| Gated fully fusion for semantic segmentation X Li, H Zhao, L Han, Y Tong, S Tan, K Yang Proceedings of the AAAI conference on artificial intelligence 34 (07), 11418 …, 2020 | 86 | 2020 |
| Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space J Xiong, Q Wang, Z Yang, P Sun, L Han, Y Zheng, H Fu, T Zhang, J Liu, ... arXiv preprint arXiv:1810.06394, 2018 | 63 | 2018 |
| Curriculum-guided hindsight experience replay M Fang, T Zhou, Y Du, L Han, Z Zhang Advances in neural information processing systems 32, 2019 | 62 | 2019 |
| Tstarbots: Defeating the cheating level builtin ai in starcraft ii in the full game P Sun, X Sun, L Han, J Xiong, Q Wang, B Li, Y Zheng, J Liu, Y Liu, H Liu, ... arXiv preprint arXiv:1809.07193, 2018 | 62 | 2018 |
| Liir: Learning individual intrinsic reward in multi-agent reinforcement learning Y Du, L Han, M Fang, J Liu, T Dai, D Tao Advances in Neural Information Processing Systems 32, 2019 | 60 | 2019 |
| Exponentially Weighted Imitation Learning for Batched Historical Data Q Wang, J Xiong, L Han, P Sun, H Liu, T Zhang The Thirty-second Annual Conference on Neural Information Processing Systems …, 2018 | 46 | 2018 |
| Learning multi-level task groups in multi-task learning L Han, Y Zhang Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 44 | 2015 |
| Learning tree structure in multi-task learning L Han, Y Zhang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 42 | 2015 |
| Multi-Stage Multi-Task Learning with Reduced Rank L Han, Y Zhang Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 40 | 2016 |
| Encoding tree sparsity in multi-task learning: A probabilistic framework L Han, Y Zhang, G Song, K Xie Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 26 | 2014 |
| Overlapping decomposition for causal graphical modeling L Han, G Song, G Cong, K Xie Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 20* | 2012 |
| Local uncertainty sampling for large-scale multiclass logistic regression L Han, KM Tan, T Yang, T Zhang The Annals of Statistics 48 (3), 1770-1788, 2020 | 16* | 2020 |
| Grid-wise control for multi-agent reinforcement learning in video game ai L Han, P Sun, Y Du, J Xiong, Q Wang, X Sun, H Liu, T Zhang International Conference on Machine Learning, 2576-2585, 2019 | 16 | 2019 |
| Tstarbot-x: An open-sourced and comprehensive study for efficient league training in starcraft ii full game L Han, J Xiong, P Sun, X Sun, M Fang, Q Guo, Q Chen, T Shi, H Yu, X Wu, ... arXiv preprint arXiv:2011.13729, 2020 | 12 | 2020 |
| Discriminative feature grouping L Han, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 11 | 2015 |
| Temporal causal inference with time lag S Du, G Song, L Han, H Hong Neural Computation 30 (1), 271-291, 2017 | 10 | 2017 |
| Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A (H3N2) virus L Han, L Li, F Wen, L Zhong, T Zhang, XF Wan Bioinformatics 35 (1), 77-87, 2019 | 9 | 2019 |
| Principled exploration via optimistic bootstrapping and backward induction C Bai, L Wang, L Han, J Hao, A Garg, P Liu, Z Wang International Conference on Machine Learning, 577-587, 2021 | 8 | 2021 |
| Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data L Han, Y Zhang, XF Wan, T Zhang Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and …, 2016 | 6 | 2016 |
Tong ZhangHKUSTVerified email at tongzhang-ml.org
